Low Reasoning

Jamba Large 1.7

Jamba Large 1.7 is AI21's flagship open model featuring a hybrid SSM-Transformer architecture with 256K context window and 94B active parameters, engineered for enterprise-grade reasoning tasks with superior speed and cost efficiency. It delivers improved grounding and instruction-following capabilities across multiple languages while maintaining exceptional performance on complex, data-intensive applications.

256k Context

Low Intelligence

Aug '24 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU Pro

57.7%

GPQA Diamond

39%

LiveCodeBench

18.1%

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Why use Jamba Large 1.7?

Capability Examples

Multilingual Instruction Following

Translate this English recipe to Arabic and simplify it for beginners: "Beat 2 eggs, add 1 cup flour, mix with milk until smooth, fry in oil."

ضرب 2 بيضة، أضف كوب دقيق، اخلط مع الحليب حتى يصبح ناعمًا، قلِّ في الزيت. خطوات بسيطة: 1. اخفقي البيض. 2. أضيفي الدقيق. 3. صبي الحليب واخلطي. 4. حمي الزيت وقلبي الخليط حتى ينضج.

Long Context Reasoning

Given this 10,000-word novel excerpt [imagine pasted here], summarize the plot, identify the main theme, and predict the ending based on character arcs.

The plot follows protagonist Alex's journey from despair to redemption amid a dystopian war. Main theme: resilience through unlikely alliances. Predicted ending: Alex sacrifices for peace, but survives transformed, hinting at hope.

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